Triple
T16507585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghardaïa Province |
E400971
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Guerrara |
E400972
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Guerrara | Statement: [Ghardaïa Province, contains, Guerrara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guerrara Context triple: [Ghardaïa Province, contains, Guerrara]
-
A.
Guerrara
chosen
Guerrara is a town in Algeria’s M’zab region, known for its traditional Mozabite architecture and oasis-based desert lifestyle.
-
B.
Terragni
Terragni is an Italian surname most notably associated with Giuseppe Terragni, a pioneering architect of the Rationalist movement.
-
C.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
D.
Guarnere
Guarnere is the surname of William J. "Wild Bill" Guarnere, a famed American paratrooper of Easy Company depicted in the book and miniseries "Band of Brothers."
-
E.
Asciano
Asciano is a historic Tuscan town in central Italy, known for its medieval architecture and scenic location in the Crete Senesi landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e536e5c8190bef31ab979d2880a |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005832bcb48190a905ee7c9bff2c5b |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.